# GetFloorPlan vs Replicate AI

GetFloorPlan 记录了 11,127 月访问量，月度环比增长为 +17.8%，定价为付费。Replicate AI 记录了 904,038 月访问量，增长率为 -8.4%，定价为付费。

| 指标 | [GetFloorPlan](https://openaitools.app/zh/tool/getfloorplan) | [Replicate AI](https://openaitools.app/zh/tool/replicate-ai) |
| :--- | :--- | :--- |
| 官网地址 | https://getfloorplan.com | https://replicate.com |
| 分类 | AI 平面图生成器, AI 室内设计, AI 3D 模型生成器 | AI API, AI Models, AI Developer Tools, Open Source AI Models |
| 定价模式 | 付费 | 付费 |
| 月访问量 | 11,127 | 904,038 |
| 月度环比增长率 | +17.8% | -8.4% |
| 主要市场 | 越南 | 美国 |
| 直接访问量 | 4,526 | 577,501 |
| 评价得分 | 4 | 4.6 |
| 收藏数 | 12 | 5 |
| 支持平台 | 网站 | 网站 |

## GetFloorPlan

GetFloorPlan 解决的是房地产营销中一个具体而实际的问题：多数房源只有一张扁平的 2D 户型图，它能说明布局，却无法唤起情感共鸣。买家与租客很难把一堆墙体线条转换成对空间大小的感受。GetFloorPlan 把这张现有的 2D 平面图转换成同一布局的 3D 渲染图，里面摆好家具，并配上一段可自由走动的虚拟漫游。

整个流程的设计目标是无需专业软件或 3D 建模技能。你提供手上已有的平面图，服务返回可直接用于展示的视觉素材，能放进房源详情页、宣传册和网站页面。因此它适用于期房项目、翻新挂牌，以及任何暂时无法或不方便实地拍摄的情形。

由于它是渲染服务而非 CAD 建模工具，它最适合需要批量、快速产出营销物料的团队。官网是商业付费服务，界面基于 JavaScript，因此具体的套餐结构与交付周期建议在站内直接确认。

**定价与套餐:** GetFloorPlan 定位为付费服务而非免费工具。价格按你订购的效果图与虚拟漫游数量计算；具体套餐档位、单张平面图价格和交付周期请以官网为准，公开页面摘要中并未完整说明。

- **2D 转 3D 户型图:** 上传现有 2D 户型图，即可获得同一布局的 3D 渲染版本，无需从头重绘。
- **带家具的效果图:** 渲染图中包含家具与室内细节，让空荡的平面图变成可入住、可营销的空间。
- **虚拟漫游:** 把静态布局变成交互式导览，让买家与租客在线探索房源。
- **无需 3D 软件:** 服务面向经纪人、开发商与营销人员而非 3D 美术，无需建模技能或 CAD 授权。
- **可直接用于房源展示:** 输出成果可直接放进房源详情页、宣传册与营销页面。

**优势:** 无需 3D 建模技能或 CAD 软件; 带家具的效果图让空户型在房源列表中更具说服力; 虚拟漫游提供了静态户型图无法实现的交互体验; 基于你已有的 2D 平面图工作，不需要重新测量

**局限:** 属于付费服务，成本随转换的户型图数量增加; 输出质量取决于你提供的 2D 平面图的清晰度与准确性; 首页需要 JavaScript，细节需加载应用后才显示

[工具详情（Markdown）](https://openaitools.app/zh/tool/getfloorplan.md)

## Replicate AI

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

**定价与套餐:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**优势:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**局限:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[工具详情（Markdown）](https://openaitools.app/zh/tool/replicate-ai.md)

## 常见问题

### GetFloorPlan 和 Replicate AI 在月流量上如何比较？

GetFloorPlan 有 11,127 月访问量，而 Replicate AI 有 904,038。流量估算描述的是受众规模，而非产品质量。

### 它们的增长率如何比较？

GetFloorPlan 的月度环比增长率为 +17.8%；Replicate AI 为 -8.4%。

### 价格如何比较？

GetFloorPlan: 付费。GetFloorPlan 定位为付费服务而非免费工具。价格按你订购的效果图与虚拟漫游数量计算；具体套餐档位、单张平面图价格和交付周期请以官网为准，公开页面摘要中并未完整说明。 Replicate AI: 付费。Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## 替代工具

| # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | 擅长跨多个提供商路由文本和多模态提示词，但缺乏 Replicate 专属的自定义 ML 部署功能。 | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 2 | [Planner 5D AI](https://openaitools.app/zh/tool/planner-5d) | 3,110,494 | -7.7% | 免费增值 | Planner 5D AI is a suite of AI design tools that convert 2D floor plans, blueprints, or photos into editable 2D and 3D home projects, plus AI interior design and room visualization features. | [.md](https://openaitools.app/zh/tool/planner-5d.md) |
| 3 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 图片和视频模型的无服务器执行速度更快，但相比 Replicate，通用自定义模型部署能力稍弱。 | [.md](https://openaitools.app/zh/tool/fal-ai.md) |
| 4 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 更专注于 LLM 推理和微调，但缺乏 Replicate 那样由社区策划的多样化媒体模型目录。 | [.md](https://openaitools.app/zh/tool/together-ai.md) |
| 5 | [Coohom 酷家乐](https://openaitools.app/zh/tool/coohom-3d-home-interior-design-ai-tool) | 1,014,500 | -13.1% | 免费增值，免费试用，付费，定价请咨询 | 免费的在线 3D 家居设计、户型规划与 AI 渲染 | [.md](https://openaitools.app/zh/tool/coohom-3d-home-interior-design-ai-tool.md) |
| 6 | [Unsloth AI](https://openaitools.app/zh/tool/unsloth-ai) | 887,457 | -17.6% | 免费 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/zh/tool/unsloth-ai.md) |
| 7 | [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | -16.4% | 付费 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/zh/tool/atlas-cloud.md) |
| 8 | [Fireworks](https://openaitools.app/zh/tool/fireworks-ai) | 659,687 | +6% | 定价请咨询 | 为开源模型提供极快的推理速度，但模型选择比 Replicate 窄。 | [.md](https://openaitools.app/zh/tool/fireworks-ai.md) |
| 9 | [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | -8.9% | 付费 | 运行开源权重模型的定价显著更便宜，但提供的先进自定义训练和部署功能较少。 | [.md](https://openaitools.app/zh/tool/deep-infra.md) |
| 10 | [Floor Plan AI](https://openaitools.app/zh/tool/floor-plan-ai) | 325,307 | +3.1% | 免费 | 在浏览器中生成、编辑并可视化平面户型图 | [.md](https://openaitools.app/zh/tool/floor-plan-ai.md) |

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来源：https://openaitools.app/zh/compare/getfloorplan-vs-replicate-ai

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